Mohammed Ouali

Mohammed Ouali is an Associate Professor and Department Chair of Computer Science at Adrian College. He holds an M.Sc. in Computer Science and Engineering from Université de Versailles Saint-Quentin-en-Yvelines (1995), and dual Ph.D.s in Real-Time Robotics and Automatic Control from Mines ParisTech (2000) and Mathematics and Computer Science from the University of Sherbrooke (2000). Prior to joining Adrian College, he worked at Thales Canada in safety-critical real-time systems. IEEE member since 1995.

• Education
  • M.Sc. Computer Science & Engineering - Université de Versailles Saint-Quentin-en-Yvelines (1995)
  • Ph.D. Real-Time Robotics & Automatic Control - Mines ParisTech (2000)
  • Ph.D. Mathematics & Computer Science - University of Sherbrooke (2000)

Research Interests: Focus on machine learning optimization, hyperspectral image processing, and medical diagnostics. Key contributions in metaheuristic algorithms (Gray Wolf, Salp Swarm), clustering methods, and feature selection for cancer diagnosis and remote sensing applications.

Article Trends: Recent work emphasizes hybrid optimization techniques for hyperspectral data, clustering validation metrics, and automated medical diagnosis. Earlier research includes dense stereovision algorithms and VLSI architectures for signal processing.

Honors:

• Institute of Electrical and Electronics Engineers (IEEE) Member (1995-present)